Deep Learning Without Mathematics. Volume 1. Fundamentals
A

Deep Learning Without Mathematics. Volume 1. Fundamentals

Neural networks
deep learning neural networks beginner guide machine learning artificial intelligence visual learning fundamentals
Author
Andrew Glassner
Publisher
DMK Press
Year
2019
Language
Russian
174
Rate this book

To read the book, log in / register

Preview fragment

Similar books

Deep Learning: Principles and Concepts

Deep Learning: Principles and Concepts

Christopher M. Bishop, Hugh Bishop

Deep Learning from a Practitioner's Perspective

Deep Learning from a Practitioner's Perspective

Josh Patterson, Adam Gibson

Deep Learning Without Mathematics. Volume 2. Practice

Deep Learning Without Mathematics. Volume 2. Practice

Andrew Glassner

Probabilistic Machine Learning. Advanced Topics: Foundations, Inference

Probabilistic Machine Learning. Advanced Topics: Foundations, Inference

Kevin P. Murphy

Probabilistic Machine Learning: An Introduction

Probabilistic Machine Learning: An Introduction

Kevin P. Murphy

Machine Learning Without the Fluff

Machine Learning Without the Fluff

Andrey Burkov

Machine Learning. The science and art of building algorithms that extract knowledge from data.

Machine Learning. The science and art of building algorithms that extract knowledge from data.

Peter Flach

Regression: Theory and Practice. With Examples in R and Stan

Regression: Theory and Practice. With Examples in R and Stan

Andrew Gelman, Jennifer Hill, Aki Vehtari

Entertaining Machine Learning. Manga

Entertaining Machine Learning. Manga

Araki Masahiro, Watari Makana (artist)

Deep Learning Patterns and Practices

Deep Learning Patterns and Practices

Andrew Ferlitsch